Abstract

Existing tools that are used to support the process of transferring tacit knowledge into explicit . knowledge do not support the affection of individuals and their knowledge, but rather data and information processing. A more personalised view of knowledge is required, and a toolbox has been constructed in order to increase the individual's capacity to describe hisher own situation within organisations. This is assumed to motivate the person to contribute with knowledge. An empirical investigation of a prototypical nature has been conducted. The empirical results are positive for eliciting knowledge.

Abstract

Information Technology is no longer regarded solely as a repository within knowledge management but also as a collaborative tool. This change of role gives rise to online communities (OLCs), which extend the loci of existing communities of practice. To leverage the potential of these communities, organisations must understand the mechanisms underpinning members' decisions to share knowledge and expertise within the community. This paper discusses existing research and develops a theoretical model of factors that affect knowledge sharing in OLCs. The aim is to increase our understanding of the antecedents to knowledge‑sharing in OLCs.

Abstract

Abstract: The emergence and popularity of online social network platform has greatly transformed the way businesses work in terms of collaborations, communications and crowdsourcing with the boom of Web 3.0 technology. Crowdsourcing is regarded as volunta
ry participative group behaviour engaging in company activities within online social networks. Previous studies have identified some basic characteristics of crowdsourcing initiatives from business to business perspectives which defined crowd, clear goal
, benefits received by the crowd, online task assigned process and more. However, from the consumer⠒s perspective; motivation for such participative behavior is still not well researched. Finding the right type of motivation in order to establish this b
ehavior is essential for the success of crowdsourcing. Two primary motivation categories described in the literature are extrinsic (which is referred as technology‑push forces) and intrinsic (which is referred as need‑pull forces) motivation. To under
stand this requires an exploratory study that discloses the psycho‑social motivations of crowdsourcing, since currently there is no established unitary and shared knowledge on consumer engagement on crowdsourcing. For this research, crowdsourcing is exami
ned through the Instagram platform. Instagram is an online mobile photo‑sharing, video‑sharing and social network service that enables online social network citizens (OSNC) to take pictures and videos, and share them on Instagram as well as on other soc
ial networking platforms. Instagram⠒s simple design allows images and short videos to fill the screen with nothing to clutter the experience of viewing. Similarly, images and short videos of brand posted on Instagram gives equally compelling visual expe
rience that inspire followers to share, post comments and encourage conversations. Instagram taps into the collective intelligence of their followers, the followers receives benefits from crowdsourcing in terms of personal and social recognition. In this
regard, this research will explore on motivating f